Streamlining recurring payments for businesses worldwide
GoCardless is a leading fintech company headquartered in Clerkenwell, London, specializing in recurring payments. With over 100,000 businesses relying on its services, GoCardless processes more than $130 billion annually across 30+ countries. The company has raised $634.5 million in funding, includi...
GoCardless offers enhanced maternity, paternity, and shared parental pay, along with 27 days of holiday (excluding bank holidays) and a work-away sche...
GoCardless fosters a culture focused on innovation and efficiency in the subscription economy. The company emphasizes leveraging technology, such as i...
GoCardless is seeking a Data Science Manager to lead the Payment Intelligence team in leveraging bank account data for intelligent payment solutions. You'll collaborate with Software Engineers and Product Managers, utilizing skills in Python and Machine Learning.
You have 5+ years of experience in data science, with a strong background in machine learning and data analysis — you've successfully led teams and projects that turned complex data into actionable insights. Your expertise in Python and SQL allows you to build robust data pipelines and algorithms that enhance payment success rates and reduce fraud. You thrive in collaborative environments, working closely with software engineers and product managers to translate business needs into technical solutions. You are passionate about using data to drive decision-making and improve user experiences, and you understand the importance of data quality and integrity in achieving these goals.
Experience with AI-powered solutions and familiarity with payment systems would be a plus — you are eager to stay updated with the latest trends in data science and machine learning. You have a knack for mentoring junior data scientists, helping them grow their skills and confidence in the field.
As a Data Science Manager at GoCardless, you will own the full lifecycle of algorithms that power our payment intelligence solutions — from conceptualization to deployment. You will lead a team of data scientists, guiding them in developing innovative models that leverage bank account data to enhance payment success rates. Your role will involve collaborating with cross-functional teams to identify key business challenges and opportunities, ensuring that data-driven insights are integrated into product development. You will also be responsible for setting the strategic direction for data science initiatives, aligning them with the company's goals and objectives.
You will oversee the design and implementation of experiments to validate hypotheses and improve our algorithms — your analytical skills will be crucial in interpreting results and making data-informed recommendations. Additionally, you will play a key role in fostering a culture of data-driven decision-making within the organization, advocating for the use of data in all aspects of our operations.
At GoCardless, we are committed to creating an inclusive and supportive work environment — we offer flexible working arrangements and a culture that values diversity and collaboration. You will have the opportunity to work on impactful projects that shape the future of payment solutions, contributing to a mission that helps businesses around the world. We provide competitive compensation and benefits, along with opportunities for professional development and growth within the company. Join us in our journey to revolutionize the way payments are processed and make a meaningful impact in the financial technology space.
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